I am looking forward to the course for two reasons:
Another initial impression of the course to me that the moodle page is rather verbose and chaotic and this hampers finding the necessary information and the assigned tasks. I hope that I will get used to this and will not miss any compulsary assignment.
I have found the course in Sisu because I still needed one credit to my Transferable skills section.
## [1] "I've found the book interesting and well written. Naturally due to my previous experience in R, I was only skim-reading it. Nevertheless I have found some useful functionalities that I haven't used before. e.g."
filter(year == 2020 | disease == COVID19)gapdata2007 %>%
ggplot(aes(x = continent, y = lifeExp, fill = country)) +
geom_col(position="dodge") + theme(legend.position = "none")
percent() function in tidyverse, it’s much simpler than sprintf(%2.1f%%).plotly and html output of Rmarkdown one can create interactive htmls (as one can hover over the diagram below to highlight countries).plot = gapdata2007 %>%
ggplot(aes(x = gdpPercap, y = lifeExp, color = continent, label = country)) +
geom_point()
ggplotly(plot)
Describe the work you have done this week and summarize your learning.
date()
## [1] "Sun Nov 06 12:02:25 2022"
Here we go again…
(more chapters to be added similarly as we proceed with the course!)